Joint Optimization of Sensor Deployment and Spectrum Data Completion for Radio Map Construction

Sensor deployment and spectrum data completion are two critical stages in radio map construction, which are intricately linked and jointly influence both efficiency and performance. However, existing research often addresses these two issues separately, neglecting their joint optimization. In this study, we introduce two heuristic algorithms to tackle the joint optimization problem of these issues. These algorithms utilize a novel approach that combines deterministic search and fine-grained stochastic optimization, guided by the principle of greedy optimization. Experimental results demonstrate distinct advantages of the proposed algorithms compared to the baselines. Moreover, transferability verification confirms the applicability of the proposed algorithms across various scenarios and their ability for knowledge transfer.